Learning to Run NIPS 2017 Competition
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Updated
Aug 18, 2017 - Python
Learning to Run NIPS 2017 Competition
Simple Reinforcement Learning Framework
Implementations of deep RL papers and random experimentation
Tensorflow implementation of generative adversarial imitation learning
Trust Region Policy Optimization (TRPO) in pure TensorFlow
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Generative-Adversarial-Imitation-Learning on PySC2
PyTorch implementation of Trust Region Policy Optimization
Reinforcement Learning CS6700 Course Capstone Project
My solutions to the labs from this bootcamp:
Apply Reinforcement Learning (RL) to enable prosthetics to calibrate with differences between humans and differences between walking environments
Deep Reinforcement Learning Toolbox
ROS 2 enabled Machine Learning algorithms
ROS 2 enabled Machine Learning algorithms
Deep Reinforcement Learning Toolbox for Robotics using Keras and TensorFlow
Reason8.ai PyTorch solution for NIPS RL 2017 challenge
A pytorch-version implementation of RL algorithms. Now it collects TRPO, ClipPPO, A2C, GAIL and ADCV.
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